Aim and Scope
Advances in artificial intelligence (AI) and signal processing are driving the growth of the artificial intelligence market as improved appropriate technologies is critical to offer enhanced drones, self-driving cars, robotics, etc. Today, more and more sensor manufacturers are using machine learning to sensors and signal data for analyses. The machine learning for sensors and signal data is becoming easier than ever: hardware is becoming smaller and sensors are getting cheaper, making Internet of things devices widely available for a variety of applications ranging from predictive maintenance to user behavior monitoring. Whether we are using sounds, vibrations, images, electrical signals or accelerometer or other kinds of sensor data, we can build now richer analytics by teaching a machine to detect and classify events happening in real-time, at the edge, using an inexpensive microcontroller for processing - even with noisy, high variation data.
The global artificial intelligence market size was valued at US $ 136.55 billion in 2022 and is projected to expand at a compound annual growth rate (CAGR) of 15.83 % from 2023 to 2030 to rich US $ 738.80 bn. Artificial intelligences currently transforming the manufacturing industry. Virtual reality, automation, Internet of Things (IoT), and robotics are some important features of AI that are benefitting the manufacturing industry. AI has been one of the fastest-growing technologies in recent years. The market growth is mainly driven by factors such as the increasing adoption of cloud-based applications and services, growing big data, and increasing demand for intelligent virtual assistants. The major restraint for such market is the limited number of AI technology experts.
The Series of ASPAI Conferences have been launched to fill-in this gap and to provide a forum for open discussion and development of emerging artificial intelligence and appropriate signal processing technologies focused on real-word implementations by offering Hardware, Software, Services, Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision and Signal Processing). The goal of the conference is to provide an interactive environment for establishing collaboration, exchanging ideas, and facilitating discussion between researchers, manufacturers and users. The first ASPAI conference has taken place in Barcelona, Spain in 2019, the second (2020) and the third (2021) – in the virtual format due to the COVID-19 pandemic – in Berlin (Germany) and Porto (Portugal). In 2022 and 2023 we have returned to the in-person conference format in Corfu (Greece) and Tenerife (Canary Islands), Spain, respectively.
The conference is organized by the International Frequency Sensor Association (IFSA) - one of the major professional, non-profit association serving for sensor industry and academy since 1999, in technical cooperation with the media partners – IOS Press (journal ‘Integrated Computer-Aided Engineering’) World Scientific (International Journal of Neural Systems) and MDPI (journals ‘Algorithms’ and ‘Electronics’). The conference program provides an opportunity for researchers interested in signal processing and artificial intelligence to discuss their latest results and exchange ideas on the new trends.
Peer Review
All submitted papers have been preliminary peer reviewed by international reviewers. The authors have revised papers after review, and resubmitted it for the second round of review by the technical committee. By this way, all mandatory corrections were made. All published papers have been presented at the event and opened for discussion.
